I don't think this is documented anywhere, but it is an available trick (not 
sure if it is in 1.6.1, but might be): if you set OPAL_OUTPUT_STDERR_FD=N in 
your environment, we will direct all our error outputs to that file descriptor. 
If it is "0", then it goes to stdout.

Might be worth a try?


On Feb 14, 2013, at 8:38 AM, Bharath Ramesh <bram...@vt.edu> wrote:

> Is there any way to prevent the output of more than one node
> written to the same line. I tried setting --output-filename,
> which didnt help. For some reason only stdout was written to the
> files. Making it little bit hard to read close to a 6M output
> file.
> 
> -- 
> Bharath
> 
> On Thu, Feb 14, 2013 at 07:35:02AM -0800, Ralph Castain wrote:
>> Sounds like the orteds aren't reporting back to mpirun after launch. The 
>> MPI_proctable observation just means that the procs didn't launch in those 
>> cases where it is absent, which is something you already observed.
>> 
>> Set "-mca plm_base_verbose 5" on your cmd line. You should see each orted 
>> report back to mpirun after it launches. If not, then it is likely that 
>> something is blocking it.
>> 
>> You could also try updating to 1.6.3/4 in case there is some race condition 
>> in 1.6.1, though we haven't heard of it to-date.
>> 
>> 
>> On Feb 14, 2013, at 7:21 AM, Bharath Ramesh <bram...@vt.edu> wrote:
>> 
>>> On our cluster we are noticing intermediate job launch failure when using 
>>> OpenMPI. We are currently using OpenMPI-1.6.1 on our cluster and it is 
>>> integrated with Torque-4.1.3. It failes even for a simple MPI hello world 
>>> applications. The issue is that orted gets launched on all the nodes but 
>>> there are a bunch of nodes that dont launch the actual MPI application. 
>>> There are no errors reported when the job gets killed because the walltime 
>>> expires. Enabling --debug-daemons doesnt show any errors either. The only 
>>> difference being that successful runs have MPI_proctable listed and for 
>>> failures this is absent. Any help in debugging this issue is greatly 
>>> appreciated.
>>> 
>>> -- 
>>> Bharath
>>> 
>>> 
>>> _______________________________________________
>>> users mailing list
>>> us...@open-mpi.org
>>> http://www.open-mpi.org/mailman/listinfo.cgi/users
>> 
>> 
>> _______________________________________________
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